Michael Conover

4.6k citations
13 papers · 1.3k · 3 hit papers · h-index 8

Impact in

Papers in

Michael Conover

13 papers receiving 1.2k citations

Michael Conover's Hit Papers

Political Polarization on Twitter 2021 · 249 citations
2490+5+10Years since publication100200300400

Peers

Michael Conover
Comparison fields: 5 of 138
  • Communication 481
  • Statistical and Nonlinear Physics 441
  • Artificial Intelligence 357
  • Sociology and Political Science 465
  • Information Systems 170
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Di Cai China
Libby Hemphill United States
Pascal Jürgens Germany
Martin Riedl Germany
Petko Bogdanov United States
Thomas Lansdall-Welfare United Kingdom
Qing Ke China
Kyumin Lee South Korea
Evgeny Morozov United States
Chengzhi Zhang China
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Citations per field
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Citations per year

Countries citing papers authored by Michael Conover

Since Specialization
Citations

This map shows the geographic impact of Michael Conover's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Michael Conover with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Conover more than expected).

Fields of papers citing papers by Michael Conover

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael Conover. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Michael Conover. The network helps show where Michael Conover may publish in the future.

Co-authors

The 25 scholars most cited alongside Michael Conover, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michael Conover Line = papers co-authored together Michael Conover links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1
Predicting the Political Alignment of Twitter Users
Hit paper breakdown →
2011410
2
Political Polarization on Twitter
Hit paper breakdown →
2021249
3
Global labor flow network reveals the hierarchical organization and dynamics of geo-industrial clusters
Hit paper breakdown →
2021246
4 2013136
5 2013106
6 2021102
7 200810
8 20099
9 20116
10
Testing extensive use of NER tools in article classification and a statistical approach for method interaction extraction in the protein-protein interaction literature
20103
11 20102
12 20122
13 20181

About Michael Conover

Michael Conover is a scholar working on Statistical and Nonlinear Physics, Communication, Molecular Biology, Sociology and Political Science and Computer Vision and Pattern Recognition, having authored 13 papers that have together received 1.3k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (6 papers), Social Media and Politics (4 papers), Opinion Dynamics and Social Influence (4 papers), Advanced Text Analysis Techniques (2 papers), Biomedical Text Mining and Ontologies (2 papers), Data Visualization and Analytics (2 papers), Video Analysis and Summarization (1 paper) and Cybercrime and Law Enforcement Studies (1 paper). The work is most often cited by research in Communication (481 citations), Statistical and Nonlinear Physics (441 citations), Artificial Intelligence (357 citations), Sociology and Political Science (465 citations) and Information Systems (170 citations). Michael Conover has collaborated with scholars based in United States, Portugal and Italy. Frequent co-authors include Filippo Menczer, Alessandro Flammini, Bruno Gonçalves, A. Ratkiewicz, Emilio Ferrara, Matthew Francisco, Azadeh Nematzadeh, Yong‐Yeol Ahn, Jaehyuk Park and Ian B. Wood. Their work appears in journals such as PLoS ONE, Communications of the ACM, BMC Bioinformatics, Lecture notes in computer science and Proceedings of the International AAAI Conference on Web and Social Media.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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